Ming‐Jui Hung

3.9k total citations · 1 hit paper
150 papers, 2.6k citations indexed

About

Ming‐Jui Hung is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ming‐Jui Hung has authored 150 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Cardiology and Cardiovascular Medicine, 49 papers in Radiology, Nuclear Medicine and Imaging and 41 papers in Surgery. Recurrent topics in Ming‐Jui Hung's work include Cardiac Imaging and Diagnostics (46 papers), Cardiovascular Function and Risk Factors (26 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Ming‐Jui Hung is often cited by papers focused on Cardiac Imaging and Diagnostics (46 papers), Cardiovascular Function and Risk Factors (26 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Ming‐Jui Hung collaborates with scholars based in Taiwan, United States and Japan. Ming‐Jui Hung's co-authors include Wen‐Jin Cherng, Shih‐Chieh Shao, Ming‐Yow Hung, Edward Chia‐Cheng Lai, Chi‐Wen Cheng, Ning‐I Yang, Yung‐Chang Chen, Chao‐Hung Wang, Patrick Hu and Chi‐Chun Lai and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ming‐Jui Hung

145 papers receiving 2.5k citations

Hit Papers

The Chang Gung Research Database—A multi‐institutional el... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming‐Jui Hung Taiwan 27 1.0k 642 559 368 271 150 2.6k
Torsten Slowinski Germany 35 604 0.6× 447 0.7× 592 1.1× 180 0.5× 67 0.2× 120 3.8k
Oscar C. Marroquin United States 33 2.0k 2.0× 784 1.2× 1.7k 3.1× 626 1.7× 68 0.3× 127 4.3k
Antonio Bellasi Italy 36 1.3k 1.2× 351 0.5× 693 1.2× 267 0.7× 144 0.5× 178 4.5k
Kian Keong Poh Singapore 29 1.6k 1.5× 482 0.8× 818 1.5× 197 0.5× 51 0.2× 244 3.0k
Arie Steinvil Israel 34 2.7k 2.7× 561 0.9× 548 1.0× 142 0.4× 78 0.3× 163 3.9k
Zhe Zheng China 27 1.0k 1.0× 172 0.3× 830 1.5× 87 0.2× 122 0.5× 145 2.4k
Allen S. Anderson United States 26 1.9k 1.9× 179 0.3× 2.1k 3.8× 106 0.3× 214 0.8× 127 4.1k
Walter Markiewicz Israel 34 1.9k 1.8× 510 0.8× 822 1.5× 481 1.3× 45 0.2× 92 3.8k
Chung‐Lieh Hung Taiwan 28 2.1k 2.1× 553 0.9× 547 1.0× 271 0.7× 27 0.1× 215 3.0k
Yen‐Wen Wu Taiwan 34 1.4k 1.4× 932 1.5× 1.0k 1.9× 328 0.9× 25 0.1× 267 4.0k

Countries citing papers authored by Ming‐Jui Hung

Since Specialization
Citations

This map shows the geographic impact of Ming‐Jui Hung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming‐Jui Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Jui Hung more than expected).

Fields of papers citing papers by Ming‐Jui Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jui Hung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming‐Jui Hung. The network helps show where Ming‐Jui Hung may publish in the future.

Co-authorship network of co-authors of Ming‐Jui Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jui Hung. A scholar is included among the top collaborators of Ming‐Jui Hung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Jui Hung. Ming‐Jui Hung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lee, Chin‐Chan, Chia‐Chun Chen, Cheng-Kai Hsu, et al.. (2023). Urinary microRNA in Diabetic Kidney Disease: A Literature Review. Medicina. 59(2). 354–354. 8 indexed citations
3.
Tsai, Tzu‐Hsien, et al.. (2023). Evaluating the applicability of ivabradine in acute heart failure. Clinical Cardiology. 47(1). e24206–e24206. 3 indexed citations
4.
Kao, Yu‐Cheng, Ming‐Shyan Lin, Chao‐Yung Wang, et al.. (2023). Optimal Heart Rate Control Improves Long-Term Prognosis of Decompensated Heart Failure with Reduced Ejection Fraction. Medicina. 59(2). 348–348. 3 indexed citations
5.
Hung, Ming‐Yow, et al.. (2023). Relationship between Inflammation and Vasospastic Angina. Medicina. 59(2). 318–318. 2 indexed citations
6.
Hung, Ming‐Jui, Chi‐Tai Yeh, Nicholas G. Kounis, et al.. (2023). Coronary Artery Spasm-Related Heart Failure Syndrome: Literature Review. International Journal of Molecular Sciences. 24(8). 7530–7530. 4 indexed citations
7.
Shao, Shih‐Chieh, Edward Chia‐Cheng Lai, Chaw‐Ning Lee, et al.. (2021). Risk of diabetic macular oedema with sodium‐glucose cotransporter‐2 inhibitors in type 2 diabetes patients: A multi‐institutional cohort study in Taiwan. Diabetes Obesity and Metabolism. 23(9). 2067–2076. 33 indexed citations
8.
Yeh, Chi‐Hsiao, Tsung‐Hsien Tsai, Yi-Ju Chou, et al.. (2021). Artificial Intelligence-Assisted Identification of Genetic Factors Predisposing High-Risk Individuals to Asymptomatic Heart Failure. Cells. 10(9). 2430–2430. 14 indexed citations
9.
Hsu, Cheng-Kai, I‐Wen Wu, Yih-Ting Chen, et al.. (2020). Value of the high-sensitivity troponin T assay for diagnosis of acute myocardial infarction in patients with and without renal insufficiency. Renal Failure. 42(1). 1142–1151. 4 indexed citations
10.
Hung, Ming‐Yow, Chun‐Tai Mao, Ming‐Jui Hung, et al.. (2019). Coronary Artery Spasm as Related to Anxiety and Depression: A Nationwide Population-Based Study. Psychosomatic Medicine. 81(3). 237–245. 22 indexed citations
11.
Kang, Eugene Yu‐Chuan, Nan‐Kai Wang, Ling Yeung, et al.. (2019). Aspirin use in central retinal arterial occlusion to prevent ischaemic stroke: a retrospective cohort study in Taiwan. BMJ Open. 9(2). e025455–e025455. 16 indexed citations
12.
Chen, Dong‐Yi, Chun‐Tai Mao, Ming‐Lung Tsai, et al.. (2016). Clinical outcomes of drug-eluting stents versus bare-metal stents in patients with cardiogenic shock complicating acute myocardial infarction. International Journal of Cardiology. 215. 98–104. 10 indexed citations
13.
Wu, I‐Wen, Kuang‐Hung Hsu, Chin‐Chan Lee, et al.. (2013). Re-evaluating the predictive roles of metabolic complications and clinical outcome according to eGFR levels — a four-years prospective cohort study in Taiwan. BMC Nephrology. 14(1). 92–92. 8 indexed citations
14.
15.
Chen, Shih‐Jen, Ning‐I Yang, Chi‐Wen Cheng, et al.. (2012). Impact of Definitions of Left Ventricular Hypertrophy on Left Ventricular Remodeling Findings in Patients with Predialysis Chronic Kidney Disease: An Echocardiographic Study. Zhōnghuá mínguó xīnzàngxué huì zázhì. 28(1). 42–52.
16.
Cheng, Chi‐Wen, et al.. (2010). Variant Angina with Angiographically Normal or Near-Normal Coronary Arteries: A 10-year Experience. 21(2). 79–89. 2 indexed citations
17.
Huang, Kuo-Tsang, et al.. (2010). Improvement in fire prevention performance of cork-gypsum decorative materials by applying porous waste. International Journal of the Physical Sciences. 5(13). 2038–2044. 5 indexed citations
19.
Hung, Ming‐Jui, et al.. (2007). The application of evaluation model using fuzzy grey decision system for the safety of hillside residence area in Taiwan. WSEAS Transactions on Information Science and Applications archive. 4(923). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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